Taehong Moon
Deep Learning Research Engineer at KRAFTON Inc.
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolTaehong Moon is a deep learning research engineer with nine years of experience specializing in generative models and real-time interactive agents for gaming. Currently at KRAFTON, he leads development of a novel Co-playable Character (CPC) that moves beyond rule-based NPCs by enabling efficient inference for real-time user interaction. His research spans multi-modal generative modeling across vision, language, and audio, with practical focus on making models deployment-ready. Prior roles at NAVER Cloud, HYPERCONNECT, and academic research at SNU and KAIST reflect a balance of industry impact and rigorous AI training. Interested in physics, data analysis, and Kalman filters, he brings a systems-oriented mindset to bridging complex algorithms with production constraints in Seoul.
9 years of coding experience
1 year of employment as a software developer
Industrial Engineering, Industrial Engineering at 서울대학교 (Seoul National University)석사, Artificial Intelligence, 석사, Artificial Intelligence at 한국과학기술원(KAIST)
Github Skills (26)
face10
pdf10
kalman-filter10
filter10
visual-question-answering10
arxiv10
kalman10
python9
face-detection9
re-identification9
question-answering9
face-recognition9
facenet8
pytorch-lightning8
temporal-data8
Programming languages (3)
Github contributions (5)
tbmoon/kalman_filter
Dec 2019 - Mar 2020
Kalman Filter in Python (파이썬으로 구현하는 칼만 필터)
Contributions:236 commits, 2 PRs, 233 pushes in 3 months
pythonkalmankalman-filterpython3filter
modulabs/algorithms
Jul 2019 - Jul 2019
풀잎스쿨 알고리즘 알고 가자!
Contributions:53 commits, 47 pushes, 1 branch in 19 days
javapython
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